Triple
T1412002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ECCAS |
E31824
|
entity |
| Predicate | memberState |
P10
|
FINISHED |
| Object | Gambia |
E41541
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gambia | Statement: [ECCAS, memberState, Gambia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gambia Context triple: [ECCAS, memberState, Gambia]
-
A.
The Gambia
chosen
The Gambia is a small West African country centered around the Gambia River, known for its diverse ecosystems, colonial history, and tourism-focused economy.
-
B.
Senegal
Senegal is a West African country on the Atlantic coast known for its vibrant culture, historic role in transatlantic trade, and diverse coastal and Sahelian landscapes.
-
C.
Senegambia
Senegambia is a historical region in West Africa encompassing present-day Senegal and The Gambia, known for its rich cultural diversity, early Islamic influence, and role in trans-Saharan and Atlantic trade.
-
D.
Guinea-Bissau
Guinea-Bissau is a small West African country on the Atlantic coast, known for its Portuguese colonial heritage, diverse ethnic groups, and fragile political system.
-
E.
Mauritania
Mauritania is a Northwest African country on the Atlantic coast, known for its vast Saharan landscapes, mixed Arab-Berber and Sub-Saharan cultures, and significant iron ore resources.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e3383c81909acb9c6c1c3b817a |
completed | March 1, 2026, 10:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f394df3c819087cd773980b42f2e |
completed | March 12, 2026, 5:10 p.m. |
Created at: March 1, 2026, 7:59 p.m.